1) Support vector machine multi-cla
支持向量机多分类
2) Support Vector Machine(SVM) multi-class classifier
支持向量机多类分类器
4) H-SVM for multi-classification
层次支持向量多分类机
5) multiclass SVM
多类支持向量机
1.
In this paper,a method of decision fusion based on multiclass SVM and D-S evidential theory is presented to try to solve the problem,multiclass SVM is used as the local classifier, and the BPAF is constructed accordingly,then the primary results are fused to obtain the ultima result using D-S evidential theory.
本文提出了一种基于多类支持向量机和D-S证据理论的决策融合算法,将多类支持向量机作为局部判决器,构造了相应的基本概率赋值函数,然后用D-S证据理论对各初步判决结果进行融合,得出对目标的最终识别结论。
6) Multi-class Support Vector Machine
多类支持向量机
1.
Data fusion strategies for small sample based on multi-class support vector machine
以多类支持向量机为基础的小样本信息融合策略
2.
A new method of image classification based on wavelet transformation and multi-class support vector machine is proposed,which employs wavelet transformation to extract features of the original images and then classifies them by multi-class support vector machine.
提出了一种基于小波变换和多类支持向量机的图像分类新方法,该方法利用小波变换进行图像特征提取,利用多类支持向量机进行图像分类,并与基于图像底层特征的图像分类方法进行了实验比较。
补充资料：支持
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